Reservoir petrophysical Index (RPI) as a robust tool for reservoir quality assessment
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-01049-w.pdf
Reference38 articles.
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2. Al-Jawad SN, Saleh AH (2020) Flow units and rock type for reservoir characterization in carbonate reservoir : case study, south of Iraq. J Pet Explor Prod Technol 10(1):1–20. https://doi.org/10.1007/s13202-019-0736-4
3. Al-mahrooqi S, Mookerjee A, Walton W, Scholten S, Archer R, Al-busaidi J, Al-busaidi H, Oman S (2011). Well Logging and Formation Evaluation Challenges in the Deepest Well in the Sultanate of Oman ( HPHT Tight Sand Reservoirs ). Soc Pet Eng J, 1–9.
4. Aminian K, Ameri S (2005) Application of artificial neural networks for reservoir characterization with limited data. J Petrol Sci Eng 49:212–222. https://doi.org/10.1016/j.petrol.2005.05.007
5. Anifowose F, Adeniye S, Abdulraheem A, Al-shuhail A (2016) Integrating seismic and log data for improved petroleum reservoir properties estimation using non-linear feature-selection based hybrid computational intelligence models. J Petrol Sci Eng 145:230–237. https://doi.org/10.1016/j.petrol.2016.05.019
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